Laurel Beaty

444 citations
23 papers · 202 indexed · 1 hit paper · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (12 papers)COVID-19 Clinical Research Studies (12 papers)COVID-19 Impact on Reproduction (4 papers)
Journals
SHILAP Revista de lepidopterologíaAnnals of SurgeryCHEST Journal

In The Last Decade

Laurel Beaty

20 papers receiving 201 citations

Hit Papers

Real-world use of nirmatrelvir–ritonavir in outpatients w...20232026202420252023255075

Peers

Laurel Beaty
Comparison fields: 5 of 50
  • Infectious Diseases 166
  • Neurology 52
  • Oncology 26
  • Epidemiology 26
  • Surgery 18
Replace Ginés Sánchez Nievas with:
Ginés Sánchez Nievas Spain
Melissa Briggs Hagen United States
Petro Rousseau South Africa
Sanam Alilou Iran
Milani Wolmarans South Africa
Stefania Notari Italy
Tatsuya Kodama Japan
Huaizhong Cui China
Cátia Ferreira Portugal
Sara N. Hanson United States
Laurel Beaty relative to Ginés Sánchez Nievas Spain Ginés Sánchez Nievas's profile →
Citations per field
00.5×10.1×
Ginés Sánchez Nievas · 1×
Citations per year

Countries citing papers authored by Laurel Beaty

Since Specialization
Citations

This map shows the geographic impact of Laurel Beaty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laurel Beaty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel Beaty more than expected).

Fields of papers citing papers by Laurel Beaty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurel Beaty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laurel Beaty. The network helps show where Laurel Beaty may publish in the future.

Co-authorship network of co-authors of Laurel Beaty

This figure shows the co-authorship network connecting the top 25 collaborators of Laurel Beaty. A scholar is included among the top collaborators of Laurel Beaty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laurel Beaty. Laurel Beaty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 1
5 1
6 2
7 1
8 2
9 7
10 1
11
Real-world use of nirmatrelvir–ritonavir in outpatients with COVID-19 during the era of omicron variants including BA.4 and BA.5 in Colorado, USA: a retrospective cohort studybreakdown →
75
12 0
13 36
14 17
15 2
16 2
17 4
18 26
19 1
20 11

About Laurel Beaty

Laurel Beaty is a scholar working on Obstetrics and Gynecology, Infectious Diseases and Pharmacy, having authored 23 papers that have together received 202 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (12 papers) and COVID-19 Impact on Reproduction (4 papers). The work is most often cited by research in Infectious Diseases (166 citations), Neurology (52 citations) and Modeling and Simulation (13 citations). Laurel Beaty has collaborated with scholars based in United States, Brazil and Sweden. Frequent co-authors include Adit A. Ginde, Seth Russell, Nichole E. Carlson, David Mayer, Matthew K. Wynia, Tellen D. Bennett, Kyle C. Molina, Neil Krishan Aggarwal, Neil R. Aggarwal and Adane F. Wogu. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Surgery and CHEST Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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